Dynamic generation of user interface elements

ABSTRACT

In various example embodiments, a system and method for dynamically generating user interface elements and associated values are presented. An item listing and profile data are accessed. A set of user interface elements are dynamically generated based on the item listing and the profile data, with each user interface element configured to perform an action on the item listing. A set of values are dynamically determined, with each value being associated with a user interface element of the set of user interface elements. The set of user interface elements are then caused to be presented within the item listing.

TECHNICAL FIELD

Embodiments of the present disclosure relate generally to dataprocessing and, more particularly, but not by way of limitation, todynamic generation of user interface elements.

BACKGROUND

Conventionally, user interface elements are generated prior and embeddedduring design time of a website. Where user interface elements are usedto purchase items on a website, the user interface elements areconventionally associated with a value prior to serving the web site oract as a data entry field to receive a value determined by a user.Further, conventional websites using static values associated withselectable icons provide no guidance to a user in bidding strategies,trending prices, or values likely to enable the bidding user to win anitem at auction. As a result, a user looking to make a purchase, bid onan item in an auction, or make an offer on a product performs their owndue diligence as to trending prices, likely winning bids, or expectedprices. Dynamically generating user interface elements and associatedvalues based on information about the user and the item being purchasedwill increase the likelihood of the user making a purchase as well asfuture purchases based on increased familiarity and success with thewebsite.

BRIEF DESCRIPTION OF THE DRAWINGS

Various ones of the appended drawings merely illustrate exampleembodiments of the present disclosure and cannot be considered aslimiting its scope.

FIG. 1 is a block diagram illustrating a networked system, according tosome example embodiments.

FIG. 2 is a block diagram illustrating components of a user interfaceelement generation system suitable for dynamically generating andassigning value to user interface elements.

FIG. 3 is a flow diagram illustrating operations of a method forgenerating and assigning value to user interface elements using thehardware modules of the user interface element generation system of FIG.2, according to some example embodiments.

FIG. 4 is a flow diagram illustrating operations of a method forgenerating and assigning value to user interface elements using thehardware modules of the user interface element generation system of FIG.2, according to some example embodiments.

FIG. 5 is a flow diagram illustrating operations of a method forgenerating and assigning value to user interface elements using thehardware modules of the user interface element generation system of FIG.2, according to some example embodiments.

FIG. 6 is an interface diagram illustrating example dynamicallygenerated user interface elements generated and displayed by the userinterface element generation system, according to some exampleembodiments.

FIG. 7 is an interface diagram illustrating example dynamicallygenerated user interface elements generated and displayed by the userinterface element generation system, according to some exampleembodiments.

FIG. 8 is an interface diagram illustrating a notification generated bythe user interface element generation system, according to some exampleembodiments.

FIG. 9 is an interface diagram illustrating a suggested proxy bidnotification generated by the user interface element generation system,according to some example embodiments.

FIG. 10 is a block diagram illustrating an example of a softwarearchitecture that may be installed on a machine capable of implementingthe methods and modules of the user interface element generation system,according to some example embodiments.

FIG. 11 illustrates a diagrammatic representation of a machine in theform of a computer system within which a set of instructions may beexecuted for causing the machine to perform any one or more of methodsof the user interface element generation system, according to an exampleembodiment.

The headings provided herein are merely for convenience and do notnecessarily affect the scope or meaning of the terms used.

DETAILED DESCRIPTION

The description that follows includes systems, methods, techniques,instruction sequences, and computing machine program products thatembody illustrative embodiments of the disclosure. In the followingdescription, for the purposes of explanation, numerous specific detailsare set forth in order to provide an understanding of variousembodiments of the inventive subject matter. It will be evident,however, to those skilled in the art, that embodiments of the inventivesubject matter may be practiced without these specific details. Ingeneral, well-known instruction instances, protocols, structures, andtechniques are not necessarily shown in detail.

In various example embodiments, systems and methods for dynamicallygenerating a set of user interface elements are presented. For example,within an auction website format, the set of user interface elements maybe dynamically generated based on an item listing and profile data of auser interacting with the item listing. The set of user interfaceelements may be presented on the item listing when displayed to theuser, without having been preconfigured or generated prior to retrievingand loading of the website displaying the item listing. The set of userinterface elements can provide a simple way for users to bid on itemswith varying degrees of certainty that they will win the item.

A number and style of the set of user interface elements may bedetermined and generated based on the profile data, the item listing,and a client device on which they are displayed, among other inputs, inorder to promote ease of use and presentation of values associated withthe user interface elements. Each of the user interface elements can beassociated with a different value to provide the user with differingbidding options and to help develop a bidding strategy for the item. Thedynamic generation of the user interface elements enable each user tosee differing user interface elements (e.g., differing in style, number,etc.) to create a bidding experience tailored to the user, the user'sexperience level, and the item on which the user is bidding.

The values can be dynamically generated based on the item listing (e.g.,historical information for the item listing such as bids, number ofbidders, etc.), profile data (e.g., experience of the user, number ofauctions won, displayed interest in the item or category, etc.), andother item listings determined to be similar to the item listing atissue (e.g., used to determine a trending price for the item or similaritems). For example, in determining values, the system and methods cantake into consideration popularity (e.g., hotness, trendiness, etc.) ofan item, time to end of auction, and the user's past experience withbidding on that item. For instance, if a user was previously outbid onmultiple occasions, one of the user interface elements may have anassociated value that is increased more than normal to increase the oddsof winning for that user.

With reference to FIG. 1, an example embodiment of a high-levelclient-server-based network architecture 100 is shown. A networkedsystem 102, in the example forms of a network-based marketplace orpayment system, provides server-side functionality via a network 104(e.g., the Internet or wide area network (WAN)) to one or more clientdevices 110. FIG. 1 illustrates, for example, a web client 112 (e.g., abrowser, such as the Internet Explorer® browser developed by Microsoft®Corporation of Redmond, Wash. State), an application 114, and aprogrammatic client 116 executing on client device 110.

The client device 110 may comprise, but is not limited to, a mobilephone, desktop computer, laptop, portable digital assistant (PDA), smartphone, tablet, ultra book, netbook, multi-processor system,microprocessor-based or programmable consumer electronics, game console,set-top box (STB), or any other communication device that a user mayutilize to access the networked system 102. In some embodiments, theclient device 110 may comprise a display module (not shown) to displayinformation (e.g., in the form of user interfaces). In furtherembodiments, the client device 110 may comprise one or more of a touchscreens, accelerometers, gyroscopes, cameras, microphones, globalpositioning system (GPS) devices, and so forth. The client device 110may be a device of a user that is used to perform a transactioninvolving digital items within the networked system 102. In oneembodiment, the networked system 102 is a network-based marketplace thatresponds to requests for product listings, publishes publicationscomprising item listings of products available on the network-basedmarketplace, and manages payments for these marketplace transactions.One or more users 106 may be a person, a machine, or other means ofinteracting with client device 110. In embodiments, the user 106 is notpart of the network architecture 100, but may interact with the networkarchitecture 100 via client device 110 or another means.

Each of the client device 110 may include one or more applications (alsoreferred to as “apps”) such as, but not limited to, a web browser,messaging application, electronic mail (email) application, ane-commerce site application (also referred to as a marketplaceapplication), and the like. In some embodiments, if the e-commerce siteapplication is included in a given one of the client device 110, thenthis application is configured to locally provide the user interface andat least some of the functionalities with the application configured tocommunicate with the networked system 102, on an as needed basis, fordata and/or processing capabilities not locally available (e.g., accessto a database of items available for sale, to authenticate a user, toverify a method of payment, etc.). Conversely if the e-commerce siteapplication is not included in the client device 110, the client device110 may use its web browser to access the e-commerce site (or a variantthereof) hosted on the networked system 102.

One or more users 106 may be a person, a machine, or other means ofinteracting with the client device 110. In example embodiments, the user106 is not part of the network architecture 100, but may interact withthe network architecture 100 via the client device 110 or other means.For instance, the user provides input (e.g., touch screen input oralphanumeric input) to the client device 110 and the input iscommunicated to the networked system 102 via the network 104. In thisinstance, the networked system 102, in response to receiving the inputfrom the user, communicates information to the client device 110 via thenetwork 104 to be presented to the user. In this way, the user caninteract with the networked system 102 using the client device 110.

One or more portions of network 104 may be an ad hoc network, anintranet, an extranet, a virtual private network (VPN), a local areanetwork (LAN), a wireless LAN (WLAN), a WAN, a wireless WAN (WWAN), ametropolitan area network (MAN), a portion of the Internet, a portion ofthe Public Switched Telephone Network (PSTN), a cellular telephonenetwork, a wireless network, a WiFi network, a WiMax network, anothertype of network, or a combination of two or more such networks.

An application program interface (API) server 120 and a web server 122are coupled to, and provide programmatic and web interfaces respectivelyto, one or more application servers 140. The application servers 140 mayhost one or more publication systems 142 and payment systems 144, eachof which may comprise one or more modules or applications and each ofwhich may be embodied as hardware, software, firmware, or anycombination thereof. The application servers 140 are, in turn, shown tobe coupled to one or more database servers 124 that facilitate access toone or more information storage repositories or database(s) 126. In anexample embodiment, the databases 126 are storage devices that storeinformation to be posted (e.g., publications or listings) to thepublication system 142. The databases 126 may also store digital iteminformation in accordance with example embodiments.

Additionally, a third party application 132, executing on third partyserver(s) 130, is shown as having programmatic access to the networkedsystem 102 via the programmatic interface provided by the API server120. For example, the third party application 132, utilizing informationretrieved from the networked system 102, supports one or more featuresor functions on a website hosted by the third party. The third partywebsite, for example, provides one or more promotional, marketplace, orpayment functions that are supported by the relevant applications of thenetworked system 102.

The publication systems 142 may provide a number of publicationfunctions and services to users 106 that access the networked system102. The payment systems 144 may likewise provide a number of functionsto perform or facilitate payments and transactions. While thepublication system 142 and payment system 144 are shown in FIG. 1 toboth form part of the networked system 102, it will be appreciated that,in alternative embodiments, each system 142 and 144 may form part of apayment service that is separate and distinct from the networked system102. In some embodiments, the payment systems 144 may form part of thepublication system 142.

A user interface element generation system 150 may provide functionalityoperable to generate and place user interface elements within an itemlisting of the network-based publication system 142 and associate adynamically determined value with each of the user interface elements.For example, the interface element generation system 150 may access theuser selected data, profile data, and item listing data from thedatabases 126, the third party servers 130, the publication system 142,and other sources. In some example embodiments, the interface elementgeneration system 150 may analyze the profile data and item listing datato dynamically generate the user interface elements. As the item listingand profile data change, the interface element generation system 150 canfurther refine the user interface elements. In some example embodiments,the interface element generation system 150 may communicate with thepublication system 142 (e.g., accessing item listings) and paymentsystem 144. In an alternative embodiment, the interface elementgeneration system 150 may be a part of the publication system 142.

Further, while the client-server-based network architecture 100 shown inFIG. 1 employs a client-server architecture, the present inventivesubject matter is of course not limited to such an architecture, andcould equally well find application in a distributed, or peer-to-peer,architecture system, for example. The publication system 142, paymentsystem 144, and interface element generation system 150 could also beimplemented as standalone software programs, which do not necessarilyhave networking capabilities.

The web client 112 may access the various publication and paymentsystems 142 and 144 via the web interface supported by the web server122. Similarly, the programmatic client 116 accesses the variousservices and functions provided by the publication and payment systems142 and 144 via the programmatic interface provided by the API server120. The programmatic client 116 may, for example, be a sellerapplication (e.g., the Turbo Lister application developed by eBay® Inc.,of San Jose, Calif.) to enable sellers to author and manage listings onthe networked system 102 in an off-line manner, and to performbatch-mode communications between the programmatic client 116 and thenetworked system 102.

Additionally, a third party application(s) 132, executing on a thirdparty server(s) 130, is shown as having programmatic access to thenetworked system 102 via the programmatic interface provided by the APIserver 120. For example, the third party application 132, utilizinginformation retrieved from the networked system 102, may support one ormore features or functions on a website hosted by the third party. Thethird party website may, for example, provide one or more promotional,marketplace, or payment functions that are supported by the relevantapplications of the networked system 102.

FIG. 2 is a block diagram illustrating components of the interfaceelement generation system 150, according to some example embodiments.The interface element generation system 150 is shown as including anaccess module 210, a user interface module 220, a value module 230, aranking module 240, a presentation module 250, and a communicationmodule 260, all configured to communicate with each other (e.g., via abus, shared memory, or a switch). Any one or more of the modulesdescribed herein may be implemented using hardware (e.g., one or moreprocessors of a machine) or a combination of hardware and software. Forexample, any module described herein may configure a processor (e.g.,among one or more processors of a machine) to perform of the operationsfor which that module is designed. Moreover, any two or more of thesemodules may be combined into a single module, and the functionsdescribed herein for a single module may be subdivided among multiplemodules. Furthermore, according to various example embodiments, modulesdescribed herein as being implemented within a single machine, database126, or device may be distributed across multiple machines, databases126, or devices.

The access module 210 is a module configured to access, receive, orotherwise obtain data from one or more systems, databases, or componentsassociated with or in communication with the network-based publicationsystem 142. For example, the access module 210 may be in communicationwith the client device 110, the third party server 130, the databaseserver 124, the database 126, and other systems containing informationuseable in dynamically generating user interface elements. In someembodiments, the access module 210 may transmit and receive data throughthe communication module 260.

The access module 210 may access item listing information, profile dataof the user 106 interacting with the item listing, and a set of otheritem listings which may have been determined to be similar to the itemlisting with which the user 106 is interacting. Some or all of theinformation accessed by the access module 210 representative of the itemlisting, the profile of the user 106, and the set of other item listingsmay be stored on or accessible to the network-based publication system142. For example, at least a portion of the item listing data, the datarepresentative of the profile of the user 106, data representative ofinteractions of the user 106, and the set of other item listings may bestored within the database 126 and accessible through the databaseserver 124. The access module 210 may also receive the item listing andprofile data transmitted to the access module 210 upon the userinitially interacting with the item listing.

The user interface module 220 dynamically generates a set of userinterface elements to be displayed within the item listing based on theitem listing data and the profile data, or a subset of the item listingdata and a subset of the profile data, accessed by the access module210. In some embodiments, the user interface module 220 can receive itemlisting data and the profile data from the access module 210 via thecommunication module 260. The user interface module 220 can perform oneor more processes on the item data and the profile data, described inmore detail below, to determine relevant data from the item listing dataand the profile data as well as weights and ranks for the relevant data,so as to generate the set of user interface elements based on the itemlisting and the profile data of the user 106 accessing the item listing.

In generating the set of user interface elements, the user interfacemodule 220 determines the number of user interface elements to generateand one or more operative aspects of the set of user interface elements,such that each user interface element is configured to perform an actionon the item listing. For example, the user interface module 220determines whether to generate two, three, four, or more user interfaceelements and the actions (e.g., operative aspects) that the userinterface elements will perform. In some embodiments, the set of userinterface elements include or are associated with logic and processes tocause a bid to be placed on the item listing upon selection of the userinterface element by the user 106. In determining the number of userinterface elements, the user interface module can consider one or morefactors indicative of the current state of the auction, thecompetitiveness of the auction, the user's interest in the item orauction, and the user's familiarity or experience in bidding.

The value module 230 dynamically determines a set of values associatedwith the set of user interface elements. The dynamic determination ofthe set of values is based on the item listing and the profile data ofthe user 106 accessing the item listing, or a subset of the item listingdata and the profile data. In some embodiments, the value module 230performs the dynamic determination of the set of values based on theitem listing, the profile data, and the number of user interfaceelements generated by the user interface module 220. The value module230 can cooperate with a pricing engine (e.g., a machine learning model,described in greater detail below) to dynamically determine the values.Each value of the set of values may be associated with a user interfaceelement of the set of user interface elements by the value module 230.In some embodiments, the set of values is associated with a userinterface element of the set of user interface elements by the userinterface module 220 after the value module 230 transmits the set ofvalues to the user interface module 220.

The ranking module 240 performs ranking operations on the subset of theitem listing data and the subset of the profile data. For example, theranking module 240 may rank a set of listing factors (e.g., a subset ofthe item listing data) included in the item listing and a set of profilefactors (e.g., a subset of the profile data) contained in the profiledata of the user 106 accessing the item listing. The ranking module 240may determine whether one or more factors of the set of listing factorsand the set of profile factors exceed a predetermined threshold. In someinstances, where the one or more factors exceed the predeterminedthreshold, the ranking module 240 passes the one or more factors to theuser interface module 220 and the value module 230 for use indynamically generating the set of user interface elements and the set ofvalues, respectively.

The presentation module 250 causes presentation of the set of userinterface elements and the set of values within the item listing. Forexample, the presentation module 250 can generate the set of userinterface elements and the item listing, in addition to screens, webpages, or the like. The presentation module 250 can then causepresentation of the set of user interface elements and the item listingon the user interface of the client device 110. In some embodiments, thepresentation module 250 can cause presentation of the set of userinterface elements within the item listing by transmitting dataindicative of the item listing and the set of user interface elements tothe client device 110. In some instances, a portion of the presentationmodule 250 can be implemented by the client device 110 (e.g., a portionof an application running on the client device 110) to causepresentation of the set of user interface elements within the itemlisting on the user interface. The presentation module 250 can be ahardware implemented module, a software implemented module, or acombination thereof, as described in more detail below.

The communication module 260 enables communication between the clientdevice 110, the interface element generation system 150, the publicationsystem 142, and one or more external systems (e.g., a social media site,another publication system). In some example embodiments, thecommunication module 260 can enable communication among the accessmodule 210, the user interface module 220, the value module 230, theranking module 240, and the presentation module 250. The communicationmodule 260 can be a hardware implemented module, a software implementedmodule, or a combination thereof, as described in more detail below. Forexample, the communication module 260 can include communicationmechanisms such as an antenna, a transmitter, one or more busses, andother suitable communication mechanisms capable of enablingcommunication between the modules 210-250, the client device 110, theinterface element generation system 150, and the publication system 142.

With respect to FIG. 3, a flow chart of operations of the interfaceelement generation system 150 in performing a method 300 of generatinguser interface elements is shown, according to some example embodiments.Operations in the method 300 may be performed by the interface elementgeneration system 150, using modules described above with respect toFIG. 2. In some embodiments, the operations of the method 300 can beperformed using the modules of FIG. 2, where portions of the modules maybe implemented on client devices such as the client device 110.

In operation 310, the access module 210 accesses an item listing storedon the network-based publication system 142. The item listing may bestored on the database 126 and accessed through the one or more databaseservers 124. In some embodiments, the database 126 may contain aplurality of item listings including sets of item listings determined tobe similar to one another. The item listings can comprise listings ofproducts available on the network-based publication system 142. The itemlistings can include digital item information corresponding to the itemdepicted by the item listing, such as identifying characteristics of theitem, quality information, quantity information, condition, and otheritem information. Each item listing can include a set of listing factorswhich may be understood as metadata of an item listing indicative of astate, status, or history of the item listing. For example, listingfactors can include a current bid for the item, a minimum bid increment,a trending price, a time remaining for the item listing, a number ofactive bidders, a number of watchers, a number of bids within apredetermined time period, a distance between the starting bid and thecurrent bid, a number of bids, and a number of items ending soon whichhave been determined to be similar.

In some embodiments, the item listings can include user interfaceelements to be displayed within the item listing and configured to causeone or more actions upon the item listing. For example, the userinterface elements can be configured to add an item listing to a watchlist, place a bid on the item listing, submit an offer for the itemlisting, transmit a question to a user associated with the item listing,and perform other functions on or related to the item listing.

In operation 320, the access module 210 accesses or otherwise receivesprofile data of the user 106 interacting with the item listing on thenetwork-based publication system 142. The profile data of the user 106may be representative of a user profile for the user 106. The userprofile can be understood to be an aggregation of data representative ofan identity of the user 106 and interactions of the user 106 on thenetwork-based publication system 142. In some embodiments, the accessmodule 210 can access a set of profile data of a set of users, includingthe user 106 or additional users of the set of users interacting withthe item listing. Profile data of the user 106 and the set of users ofthe network-based publication system 142 can be stored on the database126. In some embodiments, the access module 210 accesses the profiledata by accessing the database 126, receiving the profile data inresponse to a request, or any suitable manner.

The profile data for each user contains a set of profile factorsindicative of user characteristics of the user. A profile factor can beunderstood as a portion of data representing a feature, quality, oridentifying information associated with the user. For example, theprofile factors can include a number of times a user has been outbid, anumber of times the user has been outbid for a particular item, a numberof items on a watchlist, data indicative of items included in thewatchlist, data indicative of similarities between items on thewatchlist, a number of bids the user has placed within a predeterminedtime period, number of bids by a user for a particular item, a number ofbids by the user on items determined to be similar, a number of bids theuser has placed on items in a category within a predetermined timeperiod, a number of items in a category on which the user has placed abid within a predetermined time period, a number of page views orupdates performed by the user on a particular item listing, a number ofitem listings on which the user has placed a winning bid, a number ofitem listings within a category on which the user has placed a winningbid, a percentage of item listings, within a category or regardless ofcategory, on which the user has placed the winning bid, and othersuitable profile factors indicative of item interest, category interest,preferences, and experience of the user.

In some embodiments, the set of listing factors and the set of profilefactors may be partitioned into groups of signals for input into themethod 300. For example, the set of listing factors and the set ofprofile factors can be divided into four groups of signals divided withrespect to an aspect of each of the factors. In some instances, the fourgroups can include a current state of the item listing, acompetitiveness of the item listing, a user's interest in the itemlisting, and a user's familiarity or experience in bidding (e.g., usingthe network-based publication system 140). In some embodiments, thefactors (e.g., factors of the set of listing factors and the set ofprofile factors) in one or more of the groups of signals may presentconflicting or contradictory signals for the method 300. For example,factors within the group of the user's familiarity or experience inbidding may suggest higher values (e.g., representing a more likely winof the item listing) associated with user interface elements whilefactors within the group of the competitiveness of the item listing maysuggest lower values (e.g., representative of an item listing which isnot particularly competitive) associated with the user interfaceelements.

In these instances, the interface element generation system 150 mayprioritize one or more factors of the groups of signals or one or moregroups of the groups of signals to address the conflict orcontradiction. For example, in some embodiments, the interface elementgeneration system 150 may employ machine learning techniques toexperientially determine one or more of the factors which tends to havea greater effect on a positive outcome of the item listing (e.g.,winning bid) and weight or prioritize those one or more factors. In someinstances, the interface element generation system 150 may prioritizefactors relating to the group of the user's familiarity and experiencein bidding, to assist the user in familiarization with the network-basedpublication system 140, the process of interacting with item listings,and of winning item listings. In some embodiments, the interface elementgeneration system 150 may disregard input from one or more factors whereother factors are present or indicate a predetermined status (e.g.,factors indicating user inexperience).

In operation 330, the user interface module 220 dynamically generates aset of user interface elements based on the item listing and the profiledata. The user interface elements are to be displayed within the itemlisting. Each user interface element is configured to perform an actionon the item listing. For example, the action each user interface elementis configured to perform is placing a bid on the item listing and avalue associated with each user interface element is a bid value. Insome instances, the user interface module 220 dynamically determines anumber of user interface elements for inclusion in the set of userinterface elements based on the item listing. In determining the numberof user interface elements and generating the set of user interfaceelements, the user interface module 220 also determines a displayconfiguration for the set of user interface elements.

In some instances, the user interface module 220 can determine thenumber of the set of user interface elements based on one or more of theclient device 110, a default user interface option, the set of profilefactors, and the set of listing factors. For example, as will beexplained in more detail below, the client device 110 may have one ormore device characteristics representative of a display associated withthe client device 110. The user interface module 220 can determine thenumber of user interface elements based on a size of the display for theclient device 110, a resolution of the display, a size of the font, orother aspects relating to the client device 110.

When determining the number of user interface elements based on adefault user interface option, the interface module 220 can determine anexistence of one or more default user interface options. In some cases,the interface module 220 can also determine one or more use cases forthe one or more default user interface options. For example, theinterface module 220 can determine the existence of a maximum userinterface element threshold (e.g., no more than two user interfaceelements) and generate a number of user interface elements equal to orless than the maximum user interface element threshold (e.g., two userinterface elements). For example, as will be discussed in more detailbelow, where limited to two user interface elements, the interfacemodule 220 can include a first user interface element representative ofa value equal to a minimum bidding increment and a second user interfaceelement representative of a value determined likely to result in asuccessful final bid for the item listing. By way of example, in someembodiments, the interface module 220 can determine the first userinterface element as the minimum bid increment added to the current bid,the second user interface element as a first multiple of the minimum bidincrement added to the value of the first user interface element, andthe third user interface element as a second multiple of the minimum bidincrement added to the value of the first user interface element or thesecond user interface element.

In some embodiments, in determining the display configuration, the userinterface module 220 can determine one or more of a size, a shape, anoffset distance between two or more of the set of user interfaceelements, a position of the set of user interface elements, and otherdisplay characteristics. For example, the user interface module 220 candetermine a display configuration for the set of user interface elementsincluding a size of the user interface elements and a spacing of theuser interface elements where the set of user interface elementsincludes two user interface elements. Where the set of user interfaceelements includes three or more user interface elements, the userinterface module 220 can determine a display configuration for the setof user interface elements differing in size, shape, spacing, and otherdisplay characteristics than previously determined for the set of userinterface elements containing a different number of user interfaceelements.

In some instances, the user interface module 220 determines the displayconfiguration based on the number of user interface elements included inthe set of user interface elements and one or more devicecharacteristics of the client device 110. The one or more devicecharacteristic can include a screen size, a screen resolution, a userinterface type (e.g., a web browser, an application interface), dataindicative of a predetermined operating system, a bandwidth constraint,a data limit constraint, or other suitable characteristics orconstraints associated with the client device 110. In some instances,the display configuration is determined to provide a predeterminedaspect ratio to the user interface elements, to occupy no more than apredetermined area of an available screen of the client device 110, tooccupy no more than a predetermined percentage of an available screen ofthe client device 110, to provide the user interface elements in a sizeand shape configured such that each of the user interface elements canappear in a single row without overlap of each other, or otherinformation included within the item listing.

Once the user interface module 220 determines the number of userinterface elements included in the set of user interface elements, theuser interface module 220 can receive an input indicative of the one ormore device characteristics of the client device 110. The user interfacemodule 220 includes the one or more device characteristics in thedetermination of the display characteristics. By way of example, theuser interface module 220 can initially determine the displayconfiguration as including a first size, a first shape, and a firstspacing for the set of user interface elements and modify the firstsize, the first shape, and the first spacing to a second size, a secondshape, and a second spacing, respectively, based on the one or moredevice characteristics. In some instances, the one or more devicecharacteristics are initially included in the input for determining thedisplay configuration.

In operation 340, the value module 230 dynamically determines a set ofvalues associated with the set of user interface elements. Afterdetermination of the set of values, the value module 230 associates theset of values with the set of user interface elements such that eachvalue of the set of values is associated with a user interface elementof the set of user interface elements. In at least some embodiments, theassociation of the set of values and the set of user interface elementsis a one to one association, where once a value of the set of values hasbeen associated to a user interface element, it is not associated withanother user interface element of the set of user interface elements.Once associated with a user interface element, a value may represent amonetary value to be bid on the item listing upon selection of theassociated user interface element. In some embodiments, the set ofvalues may be based, at least in part, on the item listing and theprofile data. The set of values may also be based, at least in part, onthe number of user interface elements included in the set of userinterface elements. For example, where the set of user interfaceelements contain only two elements, a difference between the set ofvalues may be higher than where the set of user interface elementscontain three elements. By way of further example, where the profiledata indicates the user is inexperienced at using the network-basedpublication system 140 and the set of user interface elements includestwo elements, the value for the second user element may be higher thanthat generated for an experienced user in order to assist theinexperienced user in winning the item listing.

In some instances, the set of values can include a first value and asecond value. The first value may represent a minimum bid having aminimum increment suitable to replace a current high bid for the itemlisting. The second value may represent a suggested bid having a bidincrement greater than the minimum bid increment. In some embodiments,the second value may be determined likely to result in a successfulfinal bid for the item listing, as will be explained in more detailbelow.

In another example, the user interface module 220 may generate threeuser interface elements with a first user interface element, a seconduser interface element, and a third user interface element. The firstuser interface element may represent a minimum successful bid (e.g., acurrent bid plus a minimum bid increment). The third user interfaceelement may represent a high bid, above the minimum successful bid anddetermined to be a value high enough act as a winning bid based on oneor more of the listing factors such as the current bid, a pace ofbidding, the number of bidders, and other suitable item listinginformation. In some embodiments, the third user interaction element maybe associated with a trending price of the item listing or other itemlistings determined to be similar, based on bids for the other itemlistings within a period of time prior to the generation of the userinterface elements. The second user interface element may represent amedium bid between the values for the first user interface element andthe third user interface element, such as a bid between the minimum bidand the high bid determined to have a possibility of becoming thewinning bid. Further, in some instances, one or more of the userinterface elements may be associated with a value representing asuggested amount for a best price offer, determined to be comparable tothe winning bid for items determined to be similar to the item listing.The suggested amount can take into account differences between thesimilar items and the item listing such as differences in condition,quantity, age, or other factors which may affect a value of an itemlisted on the network-based publication system 142.

As an example scenario, where the network-based publication system 142includes item listings in auctions, the interface element generationsystem 150 may receive listing data indicating that a current bid forthe item listing can be $90, a minimum bid increment of $5, a trendingprice of $200, and one minute left on the auction for the item listing.The interface element generation system 150 may further receive dataindicating that a number of bidders for this item listing is higher thanaverage, a number of users watching this item is higher than average,and a number of times that the user for whom the set of interfaceelements are being generated has been outbid ten times. The interfaceelement generation system 150 may also receive profile data indicatingthat the user has a higher than average number of bids on similar itemsand has a low familiarity with the network-based publication system 142.The interface module 220 may generate a first user interface element anda second user interface element. The first user interface element may beassociated with a bid of $95, representing the current bid in additionto the minimum bid increment. The second user interface element may beassociated with a bid of $200, representing the trending price of theitem and a higher likelihood that the user may win the item listing. Inthis example scenario, the interface element generation system 150generated first and second user interface elements to simplify thebidding process for the inexperienced user and established a value forthe second user interface element at the trending price to increasesimplicity for the user and increase the likelihood of a winning bidwithout further interaction.

In a similar scenario, where the user is experienced, the time remainingon the auction is greater, and the number of bidders and watchers of theauction is lower than average, the interface element generation system150 may generate first, second, and third user interface elements havingvalues of $95, $110, and $125, respectively. The generation of thefirst, second, and third user interface elements, and the relativelylower value of the second and third user interface elements (as comparedto the example scenario discussed above) may represent a more complexbidding process with a lower likelihood of winning the item listingwithout additional user interaction. In this example scenario, theinterface element generation system 150 may determine that the user hasgreater time and a better understanding of the bidding process and, assuch, is better able to quickly fine tune subsequent bids at the closeof the auction in order to win the item listing while retaining lowerbids than an inexperienced user.

In operation 350, the presentation module 250 causes presentation of theset of user interface elements within the item listing. In at least someembodiments, the presentation module 250 causes presentation of thevalues associated with each of the user interface elements presentedwithin the item listing.

In some instances, once the set of user interface elements is selectedand a bid applied to the item listing, the network-based publicationsystem 142 can perform dynamic proxy bidding up to the value of theselected user interface element and bid. Further, based on selection ofthe user interface element, the network-based publication system 142 maydynamically transmit reminders or notifications to the client device110. For example, the network-based publication system 142 can transmitnotifications of proxy bidding, current price of the item listing, a bidstatus of the bid associated with the selected user interface element,an auction status, an outbid indicator, or other notifications relatingto the item listing. In some embodiments, the notifications can includedynamic pricing suggestions indicative of changes in the item listing(e.g., bidding history, additional bidders, and additional similar itemsbeing offered). The dynamic pricing suggestions can be generatedsimilarly to the value of the user interface elements, and onceselected, cause a change to a bid of the user 106 to reflect a dynamicpricing suggestion of the notification.

FIG. 4 shows a flow chart of operations of the interface elementgeneration system 150 in performing a method 400 of generating userinterface elements is shown, according to some example embodiments.Operations in the method 400 may be performed by the interface elementgeneration system 150, using modules described above with respect toFIG. 2. In some embodiments, the operations of the method 400 can beperformed using the modules of FIG. 2, where portions of the modules maybe implemented on client devices such as the client device 110.

In operation 410, the access module 210 accesses a first item listingstored on the network-based publication system 142. The first itemlisting may be stored on the database 126 and accessed through the oneor more database servers 124. In some instances, operation 410 may beperformed similar to or the same as operation 310, described above.

In operation 420, the access module 210 accesses a set of item listings.The access module can access the set of item listings similarly to themanner discussed with reference to operation 310. In some embodiments,the access module 210 can determine a set of second item listings,included within the set of item listings, as being similar to the firstitem listing. The access module 210 can determine the first item listingand the set of second item listings based on a keyword search orcomparison, a category comparison (e.g., comparing item and otherorganization categories with which the first item listing and the set ofsecond item listings are associated), an interrelation of the first itemlisting and the set of second item listings (e.g., a common merchant orvendor, an item within the set of second listings being a terminateditem listing and the first item listing descended from the terminateditem listing), or any other suitable manner of comparison to determine asimilarity.

In operation 430, the access module 210 accesses or otherwise receivesprofile data of the user 106 interacting with the item listing on thenetwork-based publication system 142. The profile data of the user 106may be representative of a user profile for the user 106. In someembodiments, operation 430 may be performed similarly to operation 320.

In operation 440, the user interface module 220 dynamically generates aset of user interface elements based on the first item listing, theprofile data, and the set of second item listings. In some instances,the user interface module 220 dynamically determines a number of userinterface elements for inclusion in the set of user interface elementsbased on the first item listing, the profile data, and the set of seconditem listings.

In some embodiments, the user interface module 220 dynamically generatesthe set of user interface elements using one or more machine learningprocesses. In these embodiments, the profile data, the first itemlisting, and the set of second item listings, as well as the associatedlisting factors and profile factors, can be processed into a set offactor values for input into the machine learning processes. Thesefactor values can be input into the machine learning processes (a partof the user interface module 220) to determine the number of userinterface elements within the set of user interface elements as well asthe set of values associated with the set of user interface elements.

In operation 450, the value module 230 dynamically determines a set ofvalues associated with the set of user interface elements. Each value ofthe set of values may be determined based on the number of userinterface elements included in the set of user interface elements, thefirst item listing, and the set of second item listings. In someinstances, the value module 230 also takes into account the profile datain determining the set of values. After determination of the set ofvalues, the value module 230 associates the set of values with the setof user interface elements such that each value of the set of values isassociated with a user interface element of the set of user interfaceelements.

The set of user interface elements include selectable user interfaceelements which the user 106 may selecting using an action, such as amouse click. In some embodiments, selection of a user interface elementof the set of user interface elements can generate an interrupt causingthe network-based publication system 142 to place a bid on the itemlisting. The set of user interface elements can be of various forms. Forexample, in some embodiments as described above, the set of userinterface elements are generated as a set of discrete selectableelements such as buttons, with each user interface element associatedwith a value of the set of values. In some instances, the set of userinterface elements can be a slider having a predetermined rangerepresentative of the set of values. The set of user interface elementsmay also be displayed as pre-filled amounts within one or more dataentry windows. Further, the set of user interface elements can berepresented by a single user interface element, such as a dial. In theseembodiments, the single user interface element can include a pluralityof positions indicative of the set of user interface elements and theset of values. For example, the single user interface element, displayedas a dial or scroll wheel, could include a number of positions (e.g.,tick marks encompassing the dial or positions on the scroll wheel) whereeach of the number of positions is indicative of a user interfaceelement of the set of user interface elements and a value of the set ofvalues.

In operation 460, the presentation module 250 causes presentation of theset of user interface elements within the item listing. In someembodiments, operation 450 can be performed similarly or the same asoperation 350. In some embodiments, the presentation module 250 canadditionally cause presentation of bidding information relating to theitem listing. For example, the bidding information can include atrending price of the item listing or other item listings determined tobe similar, based on the set of second item listings. In some instances,the presentation module 250 causes presentation of the set of userinterface elements with relative textual indications of the associatedvalues, without providing a numerical value on the user interfaceelements. In these instances, the presentation module 250 can causepresentation of the value associated with a user interface element ofthe set of user interface elements based on a screen position of aselection icon or a touch position (e.g., when the user hovers a mousepointer or finger over the user interface element).

FIG. 5 shows a flow chart of operations of the interface elementgeneration system 150 in performing a method 500 of generating userinterface elements is shown, according to some example embodiments.Operations in the method 500 may be performed by the interface elementgeneration system 150, using modules described above with respect toFIG. 2. In some embodiments, the operations of the method 500 can beperformed using the modules of FIG. 2, where portions of the modules maybe implemented on client devices such as the client device 110.

In operation 510, the access module 210 accesses an item listing storedon the network-based publication system 142. The item listing may bestored on the database 126 and accessed through the one or more databaseservers 124. In some instances, operation 510 may be performed similarto or the same as operation 310 or operation 410, described above.

In operation 520, the access module 210 accesses or otherwise receivesprofile data of the user 106 interacting with the item listing on thenetwork-based publication system 142. The profile data can include auser profile for the user 106. In some embodiments, the operation 520can be performed similarly to the operation 320 or the operation 430,described above.

In operation 530, the user interface module 220 dynamically generates aset of user interface elements based on the item listing and the profiledata. In some embodiments, the user interface elements may be based onone or more listing factors determined from the item listing and one ormore profile factors determined from the profile data. In someembodiments, operation 530 can be performed similarly to or the same asoperation 330 or operation 440.

In operation 540, ranking module 240 determines a set of listing factorsfrom the item listing accessed by the access module 210 and a set ofprofile factors from the profile data accessed by the access module 210.The ranking module 240 determines a rank for the set of listing factorsand a rank for the set of profile factors.

In some embodiments, the ranking module 240 includes a machine learningmodel. The machine learning model may be generated by testing of listingfactors and profile factors from a plurality of successfully completeditem listings (e.g., item listings terminated with a successfulpurchase) and a plurality of profile data from a plurality of users. Thetesting may determine relative importance of the listing factors and theprofile factors with respect to their use for accurately indicating afinal winning bid for an item listing and a winning bid strategy. Therelative importance may be quantified into a listing factor effect rankand a profile factor effect rank, indicating an effectiveness of a givenlisting factor or a given profile factor respective to other listingfactors or profile factors within their respective rankings. In someembodiments, the testing may include receiving user input indicative ofhuman judgement on relative importance of factors.

Once the machine learning model has completed testing, the machinelearning model can be understood to act as a pricing engine with inputsas the listing factors and profile factors. The pricing engine can beaccessed and used by the ranking module 240 to compare the set oflisting factors and the set of profile factors, accessed by the accessmodule 210, with the listing factor effect rank and the profile factoreffect rank to determine the rank of the set of listing factors and therank of the set of profile factors.

In operation 550, the ranking module 240 may determine the set oflisting factors exceeding a predetermined listing threshold and the setof profile factors exceeding a predetermined profile threshold. Afterdetermining one or more listing factors of the set of listing factorsand one or more profile factors of the set of profile factors whichexceed the listing threshold and the profile threshold, the rankingmodule 240 transmits the listing factors and profile factors exceedingthe respective thresholds to the value module 230 for consideration indetermining a set of values.

In operation 560, where the ranking module 240 determines thepredetermined listing threshold exceeds the set of listing factors andthe predetermined profile threshold exceeds the set of profile factors,the value module 230 may dynamically determine the set of values to beassociated with the set of user interface elements using the itemlisting data and the profile data, as described above with reference tooperations of the method 300.

In operation 562, the value module 230 dynamically determines a set ofvalues associated with the set of user interface elements. Each value ofthe set of values may be determined based on the number of userinterface elements included in the set of user interface elements and aset of factors. The set of factors may be the one or more listingfactors and the one or more profile factors received from the rankingmodule 240. In some embodiments, operation 560 can be performed wherethe set of listing factors and the set of profile factors do not exceedthe threshold and can be performed similarly to operation 340 oroperation 450, described above. After determination of the set ofvalues, the value module 230 associates the set of values with the setof user interface elements such that each value of the set of values isassociated with a user interface element of the set of user interfaceelements.

In operation 570, the presentation module 250 causes presentation of theset of user interface elements within the item listing. In someembodiments, operation 570 can be performed similarly to or the same asoperation 350 or operation 460.

FIGS. 6-9 show an example set of user interface screens and a biddingmethod of using dynamically generated and presented user interfaceelements, for example the user interface elements generated andpresented in methods 300, 400, and 500. Referring now to FIG. 6, a firstset of user interface elements 600 is presented. A first user interfaceelement 602 represents a minimum successful bid, a second user interfaceelement 604 represents a middle bid, and a third user interface element606 represents a high bid. As shown in FIG. 6, a current bid 608 mayindicate one of the set of user interface elements. Upon selection ofone of the set of user interface elements 602, the network-basedpublication system 142 can request an authentication from the user 106to confirm the bid and then place the bid on the item listing.

As shown in FIG. 7, where the bid associated with the selected userinterface is insufficient to overcome a currently placed proxy bid ofanother user, the network-based publication system 142 may cause theuser interface element generation system 150 to generate a second set ofuser interface elements 700. The second set of user interface elements700 can include a first user interface element 702, a second userinterface element 704, and a third user interface element 706 associatedwith first, second, and third values for respective bids. The first,second, and third values can be determined by the value module to beabove the values of the first set of user interface elements 600. Asshown in FIG. 7, a current bid 708 can reflect a current high bid forthe item listing, where a previous bid failed to overcome the proxybidding of another user. The user 106 may be prompted to select one ofthe second user interface elements 700.

FIG. 8 depicts a high bidder notification generated upon a bidassociated with a selected user interface element being placed whichovercomes a current high bid for the item listing. After the high biddernotification is displayed for the user 106, the network-basedpublication system 142 may generate one or more subsequent proxy biddingnotifications.

For example, as shown in FIG. 9, the network-based publication system142 may cause a proxy bid notification 900 to be displayed ortransmitted to the user 106 where a bid of another user is determined toapproach the bid of the user 106. In some instances, the network-basedpublication system 142 can issue the proxy bid notification 900 upon thebid of the user 106 reaching an upper limit of a proxy bid range. Thenetwork-based publication system 142 may also issue the proxy bidnotification 900 where a bid of another user is within a predeterminedthreshold of a maximum bid placed by the user 106. The proxy bidnotification 900 can include a suggested bid 902 comprised of a bidhaving a bid increment greater than the minimum bid increment added tothe current high bid.

Modules, Components, and Logic

Certain embodiments are described herein as including logic or a numberof components, modules, or mechanisms. Modules may constitute eithersoftware modules (e.g., code embodied on a machine-readable medium) orhardware modules. A “hardware module” is a tangible unit capable ofperforming certain operations and may be configured or arranged in acertain physical manner. In various example embodiments, one or morecomputer systems (e.g., a standalone computer system, a client computersystem, or a server computer system) or one or more hardware modules ofa computer system (e.g., at least one processor or a group ofprocessors) may be configured by software (e.g., an application orapplication portion) as a hardware module that operates to performcertain operations as described herein.

In some embodiments, a hardware module may be implemented mechanically,electronically, or any suitable combination thereof. For example, ahardware module may include dedicated circuitry or logic that ispermanently configured to perform certain operations. For example, ahardware module may be a special-purpose processor, such as aField-Programmable Gate Array (FPGA) or an Application SpecificIntegrated Circuit (ASIC). A hardware module may also includeprogrammable logic or circuitry that is temporarily configured bysoftware to perform certain operations. For example, a hardware modulemay include software executed by a general-purpose processor or otherprogrammable processor. Once configured by such software, hardwaremodules become specific machines (or specific components of a machine)uniquely tailored to perform the configured functions and are no longergeneral-purpose processors. It will be appreciated that the decision toimplement a hardware module mechanically, in dedicated and permanentlyconfigured circuitry, or in temporarily configured circuitry (e.g.,configured by software) may be driven by cost and time considerations.

Accordingly, the phrase “hardware module” should be understood toencompass a tangible entity, be that an entity that is physicallyconstructed, permanently configured (e.g., hardwired), or temporarilyconfigured (e.g., programmed) to operate in a certain manner or toperform certain operations described herein. As used herein,“hardware-implemented module” refers to a hardware module. Consideringembodiments in which hardware modules are temporarily configured (e.g.,programmed), each of the hardware modules need not be configured orinstantiated at any one instance in time. For example, where a hardwaremodule comprises a general-purpose processor configured by software tobecome a special-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware modules) at different times. Softwareaccordingly configures a particular processor or processors, forexample, to constitute a particular hardware module at one instance oftime and to constitute a different hardware module at a differentinstance of time.

Hardware modules can provide information to, and receive informationfrom, other hardware modules. Accordingly, the described hardwaremodules may be regarded as being communicatively coupled. Where multiplehardware modules exist contemporaneously, communications may be achievedthrough signal transmission (e.g., over appropriate circuits and buses)between or among two or more of the hardware modules. In embodiments inwhich multiple hardware modules are configured or instantiated atdifferent times, communications between such hardware modules may beachieved, for example, through the storage and retrieval of informationin memory structures to which the multiple hardware modules have access.For example, one hardware module may perform an operation and store theoutput of that operation in a memory device to which it iscommunicatively coupled. A further hardware module may then, at a latertime, access the memory device to retrieve and process the storedoutput. Hardware modules may also initiate communications with input oroutput devices, and can operate on a resource (e.g., a collection ofinformation).

The various operations of example methods described herein may beperformed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implemented modulesthat operate to perform one or more operations or functions describedherein. As used herein, “processor-implemented module” refers to ahardware module implemented using one or more processors.

Similarly, the methods described herein may be at least partiallyprocessor-implemented, with a particular processor or processors beingan example of hardware. For example, at least some of the operations ofa method may be performed by one or more processors orprocessor-implemented modules. Moreover, the one or more processors mayalso operate to support performance of the relevant operations in a“cloud computing” environment or as a “software as a service” (SaaS).For example, at least some of the operations may be performed by a groupof computers (as examples of machines including processors), with theseoperations being accessible via a network (e.g., the Internet) and viaone or more appropriate interfaces (e.g., an API).

The performance of certain of the operations may be distributed amongthe processors, not only residing within a single machine, but deployedacross a number of machines. In some example embodiments, the processorsor processor-implemented modules may be located in a single geographiclocation (e.g., within a home environment, an office environment, or aserver farm). In other example embodiments, the processors orprocessor-implemented modules may be distributed across a number ofgeographic locations.

Machine and Software Architecture

The modules, methods, applications and so forth described in conjunctionwith FIGS. 1-9 are implemented in some embodiments in the context of atleast one machine and at least one associated software architecture. Thesections below describe representative software architecture(s) andmachine (e.g., hardware) architecture that are suitable for use with thedisclosed embodiments.

Software architectures are used in conjunction with hardwarearchitectures to create devices and machines tailored to particularpurposes. For example, a particular hardware architecture coupled with aparticular software architecture will create a mobile device, such as amobile phone, tablet device, or so forth. A slightly different hardwareand software architecture may yield a smart device for use in the“internet of things,” while yet another combination produces a servercomputer for use within a cloud computing architecture. Not allcombinations of such software and hardware architectures are presentedhere as those of skill in the art can readily understand how toimplement the concepts contained in the present disclosure in differentcontexts from the disclosure contained herein.

Software Architecture

FIG. 10 is a block diagram 1000 illustrating a representative softwarearchitecture 1002, which may be used in conjunction with varioushardware architectures herein described. FIG. 10 is merely anon-limiting example of a software architecture and it will beappreciated that many other architectures may be implemented tofacilitate the functionality described herein. The software architecture1002 may be executing on hardware such as machine 1100 of FIG. 11 thatincludes, among other things, processors 1110, memory 1130, andinput/output (I/O) components 1150. A representative hardware layer 1004is illustrated and can represent, for example, the machine 1100 of FIG.11. The representative hardware layer 1004 comprises one or moreprocessing units 1006 having associated executable instructions 1008.Executable instructions 1008 represent the executable instructions ofthe software architecture 1002, including implementation of the methods,modules, and so forth of FIGS. 1-9. Hardware layer 1004 also includesmemory and/or storage modules 1010, which also have executableinstructions 1008. Hardware layer 1004 may also comprise other hardwareas indicated by 1012, which represents any other hardware of thehardware layer 1004, such as the other hardware illustrated as part ofmachine 1100.

In the example architecture of FIG. 10, the software architecture 1002may be conceptualized as a stack of layers where each layer providesparticular functionality. For example, the software architecture 1002may include layers such as an operating system 1014, libraries 1016,frameworks/middleware 1018, applications 1020, and presentation layer1044. Operationally, the applications 1020 and/or other componentswithin the layers may invoke API calls 1024 through the software stackand receive a response, returned values, and so forth illustrated asmessages 1026 in response to the API calls 1024. The layers illustratedare representative in nature and not all software architectures have alllayers. For example, some mobile or special purpose operating systemsmay not provide a frameworks/middleware layer 1018, while others mayprovide such a layer. Other software architectures may includeadditional or different layers.

The operating system 1014 may manage hardware resources and providecommon services. The operating system 1014 may include, for example, akernel 1028, services 1030, and drivers 1032. The kernel 1028 may act asan abstraction layer between the hardware and the other software layers.For example, the kernel 1028 may be responsible for memory management,processor management (e.g., scheduling), component management,networking, security settings, and so on. The services 1030 may provideother common services for the other software layers. The drivers 1032may be responsible for controlling or interfacing with the underlyinghardware. For instance, the drivers 1032 may include display drivers,camera drivers. Bluetooth® drivers, flash memory drivers, serialcommunication drivers (e.g., Universal Serial Bus (USB) drivers), Wi-Fi®drivers, audio drivers, power management drivers, and so forth dependingon the hardware configuration.

The libraries 1016 may provide a common infrastructure that may beutilized by the applications 1020 and/or other components and/or layers.The libraries 1016 typically provide functionality that allows othersoftware modules to perform tasks in an easier fashion than to interfacedirectly with the underlying operating system 1014 functionality (e.g.,kernel 1028, services 1030, and/or drivers 1032). The libraries 1016 mayinclude system 1034 libraries (e.g., C standard library) that mayprovide functions such as memory allocation functions, stringmanipulation functions, mathematic functions, and the like. In addition,the libraries 1016 may include API libraries 1036 such as medialibraries (e.g., libraries to support presentation and manipulation ofvarious media format such as MPREG4. H.264, MP3, AAC, AMR, JPG, PNG),graphics libraries (e.g., an OpenGL framework that may be used to render2D and 3D in a graphic content on a display), database libraries (e.g.,SQLite that may provide various relational database functions), weblibraries (e.g., WebKit that may provide web browsing functionality),and the like. The libraries 1016 may also include a wide variety ofother libraries 1038 to provide many other APIs to the applications 1020and other software components/modules.

The frameworks 1018 (also sometimes referred to as middleware) mayprovide a higher-level common infrastructure that may be utilized by theapplications 1020 and/or other software components/modules. For example,the frameworks 1018 may provide various graphic user interface (GUI)functions, high-level resource management, high-level location services,and so forth. The frameworks 1018 may provide a broad spectrum of otherAPIs that may be utilized by the applications 1020 and/or other softwarecomponents/modules, some of which may be specific to a particularoperating system or platform.

The applications 1020 include built-in applications 1040 and/or thirdparty applications 1042. Examples of representative built-inapplications 1040 may include, but are not limited to, a contactsapplication, a browser application, a book reader application, alocation application, a media application, a messaging application,and/or a game application. Third party applications 1042 may include anyof the built in applications as well as a broad assortment of otherapplications. In a specific example, the third party application 1042(e.g., an application developed using the Android™ or iOS™ softwaredevelopment kit (SDK) by an entity other than the vendor of theparticular platform) may be mobile software running on a mobileoperating system such as iOS™, Android™, Windows® Phone, or other mobileoperating systems. In this example, the third party application 1042 mayinvoke the API calls 1024 provided by the mobile operating system suchas operating system 1014 to facilitate functionality described herein.

The applications 1020 may utilize built in operating system functions(e.g., kernel 1028, services 1030, and/or drivers 1032), libraries(e.g., system 1034, APIs 1036, and other libraries 1038), and frameworksmiddleware 1018 to create user interfaces to interact with users of thesystem. Alternatively, or additionally, in some systems, interactionswith a user may occur through a presentation layer, such as presentationlayer 1044. In these systems, the application/module “logic” can beseparated from the aspects of the application/module that interact witha user.

Some software architectures utilize virtual machines. In the example ofFIG. 10, this is illustrated by virtual machine 1048. A virtual machinecreates a software environment where applications/modules can execute asif they were executing on a hardware machine (such as the machine ofFIG. 11, for example). A virtual machine is hosted by a host operatingsystem (operating system 1014 in FIG. 10) and typically, although notalways, has a virtual machine monitor 1046, which manages the operationof the virtual machine as well as the interface with the host operatingsystem (i.e., operating system 1014). A software architecture executeswithin the virtual machine such as an operating system 1050, libraries1052, frameworks/middleware 1054, applications 1056, and/or presentationlayer 1058. These layers of software architecture executing within thevirtual machine 1048 can be the same as corresponding layers previouslydescribed or may be different.

Example Machine Architecture and Machine-Readable Medium

FIG. 11 is a block diagram illustrating components of a machine 1100,according to some example embodiments, able to read instructions (e.g.,processor-executable instructions) from a machine-readable medium (e.g.,a non-transitory machine-readable storage medium) and perform any one ormore of the methodologies discussed herein. Specifically, FIG. 11 showsa diagrammatic representation of the machine 1100 in the example form ofa computer system, within which instructions 1116 (e.g., software, aprogram, an application, an applet, an app, or other executable code)for causing the machine 1100 to perform any one or more of themethodologies discussed herein may be executed. For example theinstructions may cause the machine to execute the flow diagrams of FIGS.3-5. Additionally, or alternatively, the instructions may implementaccess module 210, the user interface module 220, the value module 230,the ranking module 240, the presentation module 250, and thecommunication module 260 of FIGS. 1-5, and so forth. The instructionstransform the general, non-programmed machine into a particular machineprogrammed to carry out the described and illustrated functions in themanner described. In alternative embodiments, the machine 1100 operatesas a standalone device or may be coupled (e.g., networked) to othermachines. In a networked deployment, the machine 1100 may operate in thecapacity of a server machine or a client machine in a server-clientnetwork environment, or as a peer machine in a peer-to-peer (ordistributed) network environment. The machine 1100 may comprise, but notbe limited to, a server computer, a client computer, a personal computer(PC), a tablet computer, a laptop computer, a netbook, a STB, or anymachine capable of executing the instructions 1116, sequentially orotherwise, that specify actions to be taken by machine 1100. Further,while only a single machine 1100 is illustrated, the term “machine”shall also be taken to include a collection of machines 1100 thatindividually or jointly execute the instructions 1116 to perform any oneor more of the methodologies discussed herein.

The machine 1100 may include processors 1110, memory 1130, and I/Ocomponents 1150, which may be configured to communicate with each othersuch as via a bus 1102. In an example embodiment, the processors 1110(e.g., a Central Processing Unit (CPU), a Reduced Instruction SetComputing (RISC) processor, a Complex Instruction Set Computing (CISC)processor, a Graphics Processing Unit (GPU), a Digital Signal Processor(DSP), an ASIC, a Radio-Frequency Integrated Circuit (RFIC), anotherprocessor, or any suitable combination thereof) may include, forexample, processor 1112 and processor 1114 that may execute instructions1116. The term “processor” is intended to include multi-core processorthat may comprise two or more independent processors (sometimes referredto as “cores”) that may execute instructions contemporaneously. AlthoughFIG. 11 shows multiple processors, the machine 1100 may include a singleprocessor with a single core, a single processor with multiple cores(e.g., a multi-core process), multiple processors with a single core,multiple processors with multiples cores, or any combination thereof.

The memory 1130 may include a memory 1132, such as a main memory, orother memory storage, and a storage unit 1136, both accessible to theprocessors 1110 such as via a bus 1102. The storage unit 1136 and memory1132 store the instructions 1116 embodying any one or more of themethodologies or functions described herein. The instructions 1116 mayalso reside, completely or partially, within the memory 1132, within thestorage unit 1136, within at least one of the processors 1110 (e.g.,within the processor's cache memory), or any suitable combinationthereof, during execution thereof by the machine 1100. Accordingly, thememory 1132, the storage unit 1136, and the memory of processors 1110are examples of machine-readable media.

As used herein, “machine-readable medium” means a device able to storeinstructions and data temporarily or permanently and may include, but isnot be limited to, random-access memory (RAM), read-only memory (ROM),buffer memory, flash memory, optical media, magnetic media, cachememory, other types of storage (e.g., Erasable Programmable Read-OnlyMemory (EEPROM)) and/or any suitable combination thereof. The term“machine-readable medium” should be taken to include a single medium ormultiple media (e.g., a centralized or distributed database, orassociated caches and servers) able to store instructions 1116. The term“machine-readable medium” shall also be taken to include any medium, orcombination of multiple media, that is capable of storing instructions(e.g., instructions 1116) for execution by a machine (e.g., machine1100), such that the instructions, when executed by one or moreprocessors of the machine 1100 (e.g., processors 1110), cause themachine 1100 to perform any one or more of the methodologies describedherein. Accordingly, a “machine-readable medium” refers to a singlestorage apparatus or device, as well as “cloud-based” storage systems orstorage networks that include multiple storage apparatus or devices. Theterm “machine-readable medium” excludes signals per se.

The I/O components 1150 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 1150 that are included in a particular machine will depend onthe type of machine. For example, portable machines such as mobilephones will likely include a touch input device or other such inputmechanisms, while a headless server machine will likely not include sucha touch input device. It will be appreciated that the I/O components1150 may include many other components that are not shown in FIG. 11.The I/O components 1150 are grouped according to functionality merelyfor simplifying the following discussion and the grouping is in no waylimiting. In various example embodiments, the I/O components 1150 mayinclude output components 1152 and input components 1154. The outputcomponents 1152 may include visual components (e.g., a display such as aplasma display panel (PDP), a light emitting diode (LED) display, aliquid crystal display (LCD), a projector, or a cathode ray tube (CRT)),acoustic components (e.g., speakers), haptic components (e.g., avibratory motor, resistance mechanisms), other signal generators, and soforth. The input components 1154 may include alphanumeric inputcomponents (e.g., a keyboard, a touch screen configured to receivealphanumeric input, a photo-optical keyboard, or other alphanumericinput components), point based input components (e.g., a mouse, atouchpad, a trackball, a joystick, a motion sensor, or other pointinginstrument), tactile input components (e.g., a physical button, a touchscreen that provides location and/or force of touches or touch gestures,or other tactile input components), audio input components (e.g., amicrophone), and the like.

In further example embodiments, the I/O components 1150 may includebiometric components 1156, motion components 1158, environmentalcomponents 1160, or position components 1162 among a wide array of othercomponents. For example, the biometric components 1156 may includecomponents to detect expressions (e.g., hand expressions, facialexpressions, vocal expressions, body gestures, or eye tracking), measurebiosignals (e.g., blood pressure, heart rate, body temperature,perspiration, or brain waves), identify a person (e.g., voiceidentification, retinal identification, facial identification,fingerprint identification, or electroencephalogram basedidentification), and the like. The motion components 1158 may includeacceleration sensor components (e.g., accelerometer), gravitation sensorcomponents, rotation sensor components (e.g., gyroscope), and so forth.The environmental components 1160 may include, for example, illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometers that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensors (e.g., gasdetection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment. The position components 1162 mayinclude location sensor components (e.g., a GPS receiver component),altitude sensor components (e.g., altimeters or barometers that detectair pressure from which altitude may be derived), orientation sensorcomponents (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 1150 may include communication components 1164operable to couple the machine 1100 to a network 1180 or devices 1170via coupling 1182 and coupling 1172, respectively. For example, thecommunication components 1164 may include a network interface componentor other suitable device to interface with the network 1180. In furtherexamples, communication components 1164 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NFC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 1170 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a USB).

Moreover, the communication components 1164 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 1164 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode. Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components1164, such as location via Internet Protocol (IP) geo-location, locationvia Wi-Fi® signal triangulation, location via detecting a NFC beaconsignal that may indicate a particular location, and so forth.

Transmission Medium

In various example embodiments, one or more portions of the network 1180may be an ad hoc network, an intranet, an extranet, a VPN, a LAN, aWLAN, a WAN, a WWAN, a MAN, the Internet, a portion of the Internet, aportion of the PSTN, a plain old telephone service (POTS) network, acellular telephone network, a wireless network, a Wi-Fi® network,another type of network, or a combination of two or more such networks.For example, the network 1180 or a portion of the network 1180 mayinclude a wireless or cellular network and the coupling 1182 may be aCode Division Multiple Access (CDMA) connection, a Global System forMobile communications (GSM) connection, or other type of cellular orwireless coupling. In this example, the coupling 1182 may implement anyof a variety of types of data transfer technology, such as SingleCarrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized(EVDO) technology, General Packet Radio Service (GPRS) technology,Enhanced Data rates for GSM Evolution (EDGE) technology, thirdGeneration Partnership Project (3GPP) including 3G, fourth generationwireless (4G) networks, Universal Mobile Telecommunications System(UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability forMicrowave Access (WiMAX), Long Term Evolution (LTE) standard, othersdefined by various standard setting organizations, other long rangeprotocols, or other data transfer technology.

The instructions 1116 can comprise all or portions of the modules of theuser interface element generation system 150, including the accessmodule 210, the user interface module 220, the value module 230, theranking module 240, the presentation module 250, and the communicationmodule 260. The instructions 1116, embodied as processor executableinstructions, can provide an algorithmic and programmatic expression ofthe above-referenced modules and enable the modules to perform themethodologies described herein. The instructions 1116 may be transmittedor received over the network 1180 using a transmission medium via anetwork interface device (e.g., a network interface component includedin the communication components 1164) and utilizing any one of a numberof well-known transfer protocols (e.g., Hypertext Transfer Protocol(HTTP)). Similarly, the instructions 1116 may be transmitted or receivedusing a transmission medium via the coupling 1172 (e.g., a peer-to-peercoupling) to devices 1170. The term “transmission medium” shall be takento include any intangible medium that is capable of storing, encoding,or carrying instructions 1116 for execution by the machine 1100, andincludes digital or analog communications signals or other intangiblemedium to facilitate communication of such software.

Language

Throughout this specification, plural instances may implementcomponents, operations, or structures described as a single instance.Although individual operations of one or more methods are illustratedand described as separate operations, one or more of the individualoperations may be performed concurrently, and nothing requires that theoperations be performed in the order illustrated. Structures andfunctionality presented as separate components in example configurationsmay be implemented as a combined structure or component. Similarly,structures and functionality presented as a single component may beimplemented as separate components. These and other variations,modifications, additions, and improvements fall within the scope of thesubject matter herein.

Although an overview of the inventive subject matter has been describedwith reference to specific example embodiments, various modificationsand changes may be made to these embodiments without departing from thebroader scope of embodiments of the present disclosure. Such embodimentsof the inventive subject matter may be referred to herein, individuallyor collectively, by the term “invention” merely for convenience andwithout intending to voluntarily limit the scope of this application toany single disclosure or inventive concept if more than one is, in fact,disclosed.

The embodiments illustrated herein are described in sufficient detail toenable those skilled in the art to practice the teachings disclosed.Other embodiments may be used and derived therefrom, such thatstructural and logical substitutions and changes may be made withoutdeparting from the scope of this disclosure. The Detailed Description,therefore, is not to be taken in a limiting sense, and the scope ofvarious embodiments is defined only by the appended claims, along withthe full range of equivalents to which such claims are entitled.

As used herein, the term “or” may be construed in either an inclusive orexclusive sense. Moreover, plural instances may be provided forresources, operations, or structures described herein as a singleinstance. Additionally, boundaries between various resources,operations, modules, engines, and data stores are somewhat arbitrary,and particular operations are illustrated in a context of specificillustrative configurations. Other allocations of functionality areenvisioned and may fall within a scope of various embodiments of thepresent disclosure. In general, structures and functionality presentedas separate resources in the example configurations may be implementedas a combined structure or resource. Similarly, structures andfunctionality presented as a single resource may be implemented asseparate resources. These and other variations, modifications,additions, and improvements fall within a scope of embodiments of thepresent disclosure as represented by the appended claims. Thespecification and drawings are, accordingly, to be regarded in anillustrative rather than a restrictive sense.

What is claimed is:
 1. A system comprising: an access module, configuredto use at least one processor of a machine, to access an item listingstored on a network-based publication system and receive profile data ofa user interacting with the item listing on the network-basedpublication system, the profile data comprising a user experience levelassociated with interacting with the network-based publication system; auser interface module, configured to use the at least one processor, toanalyze the profile data and the item listing and dynamically determinea number of elements included in a set of user interface elements togenerate for display within the item listing to provide experience-basedassistance for interacting with the network-based publication system andbased, at least in part, on the item listing and the profile data, eachrespective user interface element of the set of user interface elementsconfigured to perform an action on the item listing by configuring thenumber of elements included in the set of user interface elements basedon the user experience level; a value module, configured to use the atleast one processor, to dynamically determine a set of values to beassociated with the set of user interface elements by utilizing amachine learning model that determines relative importance of one ormore factors associated with the item listing used to determine the setof values, the set of values being based, at least in part, on the itemlisting, the number of elements included in the set of user interfaceelements, and the profile data, each respective value of the set ofvalues being associated with a respective user interface element of theset of user interface elements; and a presentation module to causepresentation of the set of user interface elements and the set of valueswithin the item listing.
 2. The system of claim 1, wherein the accessmodule is further configured to access a first set of item listings anddetermine a second set of item listings by identifying item listings inthe first set of item listings that are similar to the item listinginteracted with by the user.
 3. The system of claim 2, wherein the userinterface module is further configured to determine the number ofelements included in the set of user interface elements based on theitem listing, the profile data, and the second set of item listings. 4.The system of claim 3, wherein the value module is further configured todetermine each respective value of the set of values based on the numberof elements included in the set of user interface elements, the itemlisting, the profile data, and the set of second item listings.
 5. Thesystem of claim 1, wherein the item listing includes a set of listingfactors and the profile data includes a set of profile factors, andwherein the system further comprises a ranking module configured to rankthe set of listing factors and the set of profile factors and pass thelisting factors and profile factors exceeding a predetermined thresholdto the value module as the one or more factors used to determine the setof values.
 6. The system as recited in claim 1, wherein the one or morefactors comprises at least one of: a time remaining until an end to anauction associated with the item listing; a number of times the user hasbeen outbid on one or more items similar to the item listing; a numberof bidders associated with the item listing; or a trending priceassociated with the item listing.
 7. The system as recited in claim 1,wherein the user interface module is further configured to dynamicallydetermine the number of elements included in the set of user interfaceelements based, at least in part, on one or more characteristicsassociated with a client device accessing the item listing.
 8. A methodcomprising: accessing, by a processor of a machine, an item listingstored on a network-based publication system; accessing profile data ofa user interacting with the item listing on the network-basedpublication system, the profile data including a user experience levelassociated with interacting with the network-based publication system;based on the item listing and the profile data, dynamically generating,using the processor, a set of user interface elements to be displayedwithin the item listing and configured to provide experience-basedassistance for interacting with the network-based publication system,each respective user interface element of the set of user interfaceelements configured to perform a respective action on the item listing,said dynamically generating the set of user interface elementscomprising dynamically determining a number of elements included in theset of user interface elements based on the user experience level; basedon the item listing and the profile data, dynamically determining a setof values to be associated with the set of user interface elements byutilizing a machine learning model that determines relative importanceof one or more factors associated with the item listing and the profiledata used to determine the set of values, each respective user interfaceelement of the set of user interface elements being associated with arespective value of the set of values, said dynamically determining theset of values based on the item listing, the number of elements includedin the set of user interface elements and the profile data; and causingpresentation of the set of user interface elements within the itemlisting.
 9. The method of claim 8, wherein the one or more factorscomprises at least one factor of a set of listing factors associatedwith the item listing and a set of profile factors associated with theprofile data.
 10. The method of claim 9 further comprising ranking theset of listing factors and the set of profile factors included in theone or more factors, wherein the set of listing factors and the set ofprofile factors included in the one or more factors comprise factorsthat exceed a predetermined threshold.
 11. The method of claim 8,wherein the respective action performed by the respective user interfaceelement comprises placing a bid for the item listing using therespective value associated with the respective user interface elementas a bid value.
 12. The method of claim 11, where the set of valuesincludes a first value and a second value, the first value representinga minimum bid that corresponds to a current high bid for the itemlisting combined with a first incremental value, the second valuerepresenting the current high bid combined with a second incrementalvalue greater than the first incremental value.
 13. The method of claim8 further comprising: accessing a first set of item listings; anddetermining a second set of item listings from the first set of itemlistings by identifying item listings in the first set of item listingsthat are similar to the item listing interacted with by the user. 14.The method of claim 13, wherein said dynamically determining the numberof elements included in the set of user interface elements furthercomprises determining the number of elements based on the userexperience level, the item listing, the profile data, and the second setof item listings.
 15. The method of claim 14, wherein said dynamicallydetermining the set of values associated with the set of user interfaceelements further comprises: determining each respective value of the setof values based on the number of elements included in the set of userinterface elements, the item listing, and the second set of itemlistings.
 16. The method as recited in claim 13, wherein saididentifying items listings that are similar to the item listingcomprises performing a keyword search.
 17. The method as recited inclaim 8, wherein the one or more factors associated with the profiledata comprise at least one of: a number of times the user has beenoutbid in the network-based publication system; a number of times theuser has been outbid on a particular item; a number of bids the user hasplaced within a predetermined time period; a number of item listingswithin a category on which the user has placed a winning bid; a numberof page views performed by the user on a particular item listing; or anumber of watchlist items associated with the user.
 18. The method asrecited in claim 8, wherein the one or more factors associated with theitem listing comprise at least one of: quantity information; a number ofwatchers; a number of active bids; a current bid value; a distancebetween a starting bid value and the current bid value; a time remainingin an auction associated with the item listing; a minimum bid value; ora number of items which have been determined to be similar to thelisting item and are ending within a predetermined time period.
 19. Anon-transitory machine-readable storage medium comprisingprocessor-executable instructions that, responsive to execution by aprocessor of a machine, cause the machine to perform operationscomprising: accessing, using the processor, an item listing stored on anetwork-based publication system; accessing profile data of a userinteracting with the item listing on the network-based publicationsystem, the profile data including a user experience level associatedwith interacting with the network-based publication system; analyzing,using the processor, the item listing and the profile data todynamically determine a set of user interface elements to generate fordisplay within the item listing based, at least in part, on the itemlisting and the profile data, each respective user interface element ofthe set of user interface elements configured to perform an action onthe item listing, said analyzing comprising dynamically determining anumber of elements included in the set of user interface elements basedon the user experience level; dynamically determining a set of values tobe associated with the set of user interface elements by utilizing amachine learning model that determines relative importance of one ormore factors associated with the item listing used to determine the setof values, each respective user interface element being associated witha respective value of the set of values, said determining the set ofvalues based, at least in part, on the item listing the number ofelements included in the set of user interface elements and the profiledata; and causing presentation of the determined set of user interfaceelements within the item listing.
 20. The non-transitorymachine-readable storage medium of claim 19, wherein said dynamicallydetermining the set of values further comprises determining a range ofvalues to associate with a slider user interface element.